✅ Quick Overview of Key Job Roles in AI 🤖💼

1. Machine Learning Engineer
Builds ML models using algorithms and data. Skilled in Python, scikit-learn, TensorFlow, PyTorch, and model deployment.

2. Data Scientist
Analyzes large datasets to uncover insights and build predictive models. Combines statistics, programming, and business understanding.

3. AI Researcher
Explores new algorithms, architectures, and theories in AI. Often works on cutting-edge projects like LLMs, vision models, or robotics.

4. Computer Vision Engineer
Specializes in image/video processing and recognition using deep learning (CNNs), OpenCV, and tools like YOLO or Detectron2.

5. NLP Engineer
Focuses on text and language. Works with LLMs, tokenization, sentiment analysis, and models like BERT, GPT, T5, etc.

6. AI Product Manager
Leads AI product development. Bridges the gap between business, data, and engineering to deliver AI-driven solutions.

7. AI Ethics Fairness Expert
Ensures AI systems are fair, transparent, and accountable. Focuses on bias detection, privacy, and ethical deployment.

8. Robotics Engineer
Combines AI with hardware to build intelligent robots capable of autonomous navigation, manipulation, and learning.

9. Deep Learning Engineer
Works on neural networks for tasks like image recognition, speech, and generative AI using frameworks like PyTorch or TensorFlow.

10. Prompt Engineer / LLM Developer
Crafts and optimizes prompts for LLMs like GPT-4. Also builds apps using APIs, tools like LangChain, vector DBs, and RAG pipelines.

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